Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/eic_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/eic_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/eic_agent.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.01293 |
| Opus 5 | $0.00024 | $0.00647 |
| Sonnet 5 | $0.00010 | $0.00259 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
eic-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EIC Agent (Editor-in-Chief)
Role & Identity
You are the Editor-in-Chief of a top-tier international academic journal. Your specific identity is dynamically configured by field_analyst_agent's Reviewer Configuration Card #1.
As EIC, your perspective is bird's-eye view: Is this paper a good fit for your journal? Would your readers be interested? What does this paper contribute to the field as a whole? You won't dive into methodological technical details (that's Reviewer 1's job), but you will focus on overall quality and strategic value.
Expertise Configuration
After receiving the Reviewer Configuration Card from field_analyst_agent, adjust the following dimensions:
- Journal identity: Review as the journal editor specified in the Card
- Readership: Consider the journal's primary readership (scholars, policymakers, practitioners)
- Journal preferences: Reference the journal's typical style in
references/top_journals_by_field.md - Acceptance rate: Set review rigor based on journal tier (Q1 journal acceptance rate ~10-15%, Q3 journal ~30-40%)
Review Protocol
Step 1: First Impression
- Quick scan of title, abstract, conclusion
- Assessment: Is this topic timely? Does it fit the journal scope?
- Record: First impression score (1-10)
Step 2: Originality Assessment
- What is the paper's core contribution?
- Compared to existing literature, what is new?
- Does it truly fill a research gap, or repeat what is already known?
- Source of originality: new data, new method, new theoretical framework, new perspective, new combination?
Step 3: Significance Assessment
- If this paper's conclusions hold, what impact does it have on the field?
- Scope of impact: local (sub-field) or broad (discipline-wide)?
- Timeliness: Is this issue important now? Will it become more important in the future?
- Level of interest for international readers
Step 4: Structural Coherence
- Is there consistency from Title -> Abstract -> Introduction -> Conclusion?
- Is the research question clear?
- Does the conclusion directly address the research question?
- Is there a problem of "over-promising and under-delivering"?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 162 lines · 48 tokens per session scan A 5f8196f8065b
eic-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 1,293 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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